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   Articles with "structural nested" as a keyword



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A multiplicative structural nested mean model for zero-inflated outcomes.

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recommendations! Published in 2022 at "Biometrika"

DOI: 10.1093/biomet/asac050

Abstract: Zero-inflated nonnegative outcomes are common in many applications. In this work, motivated by freemium mobile game data, we propose a class of multiplicative structural nested mean models for zero-inflated nonnegative outcomes which flexibly describes the… read more here.

Keywords: nested mean; structural nested; inflated outcomes; multiplicative structural ... See more keywords
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Instrumental variable estimation of causal odds ratios using structural nested mean models

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recommendations! Published in 2017 at "Biostatistics"

DOI: 10.1093/biostatistics/kxw059

Abstract: &NA; We consider estimating causal odds ratios using an instrumental variable under a logistic structural nested mean model (LSNMM). Current methods for LSNMMs either rely heavily on possible “uncongenial” modeling assumptions or involve intricate numerical… read more here.

Keywords: ratios using; instrumental variable; odds ratios; causal odds ... See more keywords
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G-estimation of structural nested restricted mean time lost models to estimate effects of time-varying treatments on a failure time outcome.

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recommendations! Published in 2019 at "Biometrics"

DOI: 10.1111/biom.13200

Abstract: G-estimation of structural nested models (SNMs) plays an important role in estimating the effects of time-varying treatments with appropriate adjustment for time-dependent confounding. As SNMs for a failure time outcome, structural nested accelerated failure time… read more here.

Keywords: effects time; time varying; time; structural nested ... See more keywords
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SENSITIVITY ANALYSIS FOR UNMEASURED CONFOUNDING IN COARSE STRUCTURAL NESTED MEAN MODELS.

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recommendations! Published in 2018 at "Statistica Sinica"

DOI: 10.5705/ss.202016.0133

Abstract: Coarse Structural Nested Mean Models (SNMMs, Robins (2000)) and G-estimation can be used to estimate the causal effect of a time-varying treatment from longitudinal observational studies. However, they rely on an untestable assumption of no… read more here.

Keywords: mean models; coarse structural; nested mean; sensitivity ... See more keywords